The requirement to increase our understanding and control of processes has accelerated development of chemical sensor and analyzer technology. Analytical chemists anticipated the requirement to reduce the time between sampling and reporting the results. Multivariate statistical analyses when implemented on dedicated computers controlling modern instruments provide a mechanism for real time monitors. Implementation of these advanced techniques of analytical chemistry can also provide protection from environmental contaminants. The University of Alabama in Huntsville Laboratory For Inline Process Analyses has developed UV-visible-near infrared spectrophotometric methods that provide immediate, in-situ analyses. An appropriate light source illuminates the sample through a fiber optic. A second fiber then returns the reactance signal to the spectrophotometer. The spectrophotometer and computer are portable and can be used in a plant or by a field scientist. Implementation of computer programs based on multivariate statistical algorithms make possible obtaining immediate and reliable information from long data sets that may contain large amounts of extraneous information, for example, noise and/or analytes that we do not wish to control.